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1962 articles for “E.M. algorithm” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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PSO Based Design and Analysis of Hybrid Optimization Technique using DC-DC converter with MPPT Technique
Abstract: The power voltage trademark curve of photovoltaic (PV) exhibits has several tops under fractional circumstances; The PV model worked at most extreme power gives more effectiveness. With the goal that the MPPT is used. The current Greatest Limit Point Following (MPPT) control strategies might neglect to work. However, the particle swarm optimization (PA) algorithm is more suitable for solving many serious optimization problems. Then this paper proposes a new algorithm …
Published in Journal of Power Electronics and Power Systems · Vol. 12, Issue 3, 2022 · pp. 9–18 Read article
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Detect the Edges in Satellite Image Using CED Algorithm
Abstract: Edge detection is that the name for a collection of mathematical strategies that aim at distinguishing points in a very digital image at that the image brightness changes sharply or, a lot of formally, has discontinuities. The points at that image brightness changes sharply square measure generally organized into a collection of flexuous line segments termed edges. Constant drawback of finding discontinuities in 1D signal is understood as step and …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 2, Issue 3, 2015 · pp. 30–35 Read article
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The New Digital Accord: Ethics, Society and the Future of Online Interaction
Abstract: In a time when digital technology feels like our second home, every click leaves a mark, and every share holds significance. The ‘New Digital Accord’ aims to explore the complex relationship between technological progress and ethical responsibilities, examining how our constant connectivity shapes social behaviours, digital safety, and moral values. This paper addresses key challenges such as cybersecurity threats, misinformation, digital addiction, online harassment, and the ethical questions surrounding artificial …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 3, 2025 · pp. 102–113 Read article
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Optimization of Energy Efficiency in Multihop Cooperative Communication Networks
Abstract: Next-generation wireless networks use point-to- multipoint paradigms of classical cellular networks. They will be based on large interactions, where the involved nodes cooperate with one another in order to improve the performance of their own communication and that of the global network. Cooperative communications based on relaying nodes have a promising approach to increase spectral and power efficiency, network coverage, and to reduce outage probability. The concept of Cooperative Communication …
Published in Journal Of Network security · Vol. 4, Issue 2, 2016 · pp. 48–52 Read article
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Integrated Explainable Forecasting and Metaheuristic PI Optimization for LFC/AGC
Abstract: Since the last decade world has seen a paradigm shift towards alternate sources of energy, due to significant increase in population and ever-rising demand. However, the traditional systems were not designed to cope with these alternate sources and on the other hand these systems are posed with the challenges of efficiency and intermittency. So, it is inevitable that we need to design a system wherein forecasting data has to be …
Published in Trends in Electrical Engineering · Vol. 16, Issue 2, 2025 · pp. 26–32 Read article
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Survey on Detecting Users Behavior Applying Country- Wise Local Search
Abstract: In this paper we have discussed about the data mining, web mining and the recommendation network. Web mining is explained with the classification of web mining. Recommendater system is explained properly with the explanation of whole procedure of the recommendater system. Various sequential mining pattern algorithms have been explained with various pros and cons. Also, all the work that has been done by them till date is explained fully with …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 3, 2015 · pp. 11–19 Read article
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Implementation of RSA and CRT-RSA with MIST to Resist Power Analysis Attacks
Abstract: Security has transformed out into a fundamental range of research in space of computer science. With the advancement of side channel attacks, all the private and public key cryptosystems accessible worldwide has been discovered defenceless. Accordingly there has broughtdireness up in planning resisting systems against such unpredictable attacks. Power analysis attacks, which is the most famous side channel attacks has turned out to be a test for the majority of …
Published in Journal of VLSI Design Tools and Technology · Vol. 7, Issue 3, 2017 · pp. 1–12 Read article
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Implementation of RSA and CRT-RSA with MIST to Resist Power Analysis Attacks
Abstract: Security has transformed out into a fundamental range of research in space of computer science. With the advancement of side channel attacks, all the private and public key cryptosystems accessible worldwide has been discovered defenceless. Accordingly there has broughtdireness up in planning resisting systems against such unpredictable attacks. Power analysis attacks, which is the most famous side channel attacks has turned out to be a test for the majority of …
Published in Journal of VLSI Design Tools and Technology · Vol. 7, Issue 2, 2017 · pp. 1–12 Read article
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Study of Proximity Points and Fixed Points
Abstract: This paper explores the concepts of proximity points and fixed points, which are fundamental in mathematical analysis and nonlinear functional analysis. Fixed-point theorems play a crucial role in optimization, game theory, differential equations, and dynamic systems. Proximity points, an extension of fixed points, provide a more generalized approach, allowing near-coincidence rather than exact identity. The study discusses classical fixed-point theorems, such as Banach’s contraction principle, Brouwer’s fixed-point theorem, and Schauder’s …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 28–31 Read article
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Artificial Intelligence in Entomology: Global Advances, Applications, and Future Directions in Insect Research and Pest Management
Abstract: Artificial Intelligence (AI) is transforming entomology by enabling scalable, data-driven approaches to insect identification, ecological monitoring, and sustainable pest management. This review synthesizes recent global advances in AI applications across taxonomy, behavioral ecology, predictive modeling, and precision agriculture. Machine learning and deep learning techniques—including convolutional neural networks, acoustic classification models, and ensemble predictive algorithms—have demonstrated high classification accuracies (often exceeding 90% under controlled conditions) and improved early detection of pest …
Published in International Journal of Insects · Vol. 3, Issue 1, 2026 · pp. 29–40 Read article
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Hydraulic and Thermal Performances of a Counter-Flow Heat Exchanger with Fins
Abstract: Computational analysis has been conducted to examine the flow and heat transfer characteristics in a two-dimensional iso-thermal-fluxed circular-duct fitted with fins. The computations are based on finite volume methods employed with the simple algorithm. Paper reports are based on the computational fluid dynamics (CFD) modelling studies on laminar flow heat transfer, friction factor and thermal performance of a counter-flow heat exchanger equipped with two types of tube insert, one including …
Published in Journal of Thermal Engineering and Applications · Vol. 2, Issue 3, 2015 · pp. 14–20 Read article
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A Comparative Study of Various CPU Scheduling Algorithms using MOOS Simulator
Abstract: AbstractCurrent study represents the implementation of a various scheduling algorithms and developing CPU scheduling algorithms. Examining their impact in practice can be difficult as well as time consuming because of the need to modify their test operating system kernel code and measure the resulting performance on a consistent workload of real applications. As processor is the important resource, CPU scheduling becomes very important in accomplishing the operating system (OS) design …
Published in Journal of Advances in Shell Programming · Vol. 5, Issue 3, 2018 · pp. 1–5 Read article
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AI-Driven Robotics for Sustainable Solutions in Disaster Management
Abstract: Disasters, whether natural or man-made, present significant challenges to societies worldwide. Efficient response, recovery, and mitigation strategies are crucial to minimizing human suffering, loss of life, and economic damage. Traditional disaster management strategies, while effective to some degree, often face limitations related to human resources, response time, accessibility, and safety. The integration of artificial intelligence (AI) and robotics into disaster management offers transformative potential for overcoming these challenges. This paper …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 1, 2025 · pp. 24–30 Read article
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A Study on Economic Dispatch Solution with Environmental Issue Using Genetic Algorithm
Abstract: This paper attempts to solve the problem of economic load dispatch (ELD) keeping in view the environmental issue of ever increasing pollution which leads to the various health issues. It is important to check and control the emission as well. Besides the classical ELD constraints, valve point loading effect and emission constraints are also considered and generators are scheduled for the most optimum solution. The researcher attempts to study the …
Published in Trends in Electrical Engineering · Vol. 6, Issue 1, 2016 · pp. 10–16 Read article
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Physically Challenged People Health Monitoring System Using Blynk Server
Abstract: Because of the fast pace of modern life, keeping an eye on persons who are physically challenged is a challenging task. Examining the medical histories of persons who are physically challenged who live in their homes is a challenging endeavor. In this paper, a proposal was made to maintain a continuous health monitoring system for intelligent people who are physically challenged. The system would use sensors to monitor the health …
Published in Trends in Opto-electro & Optical Communication · Vol. 12, Issue 3, 2022 · pp. 11–18 Read article
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Quantitative Analysis of Static Load Balancing Algorithms in Cloud Computing Environment
Abstract: Cloud computing is an emerging internet-based technology emphasizing commercial computing. Cloud is a platform providing dynamic pool of resources and virtualization. It is based on pay-as-u-go model. The reliability of clouds depends on the way it handle loads, to overcome such problems clouds must be featured with the load balancing mechanism. Load balancing is required as we do not want one centralized server's performance to be degraded. Load balancing is …
Published in Current Trends in Information Technology · Vol. 5, Issue 1, 2015 · pp. 6–13 Read article
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Android Based Short Messaging Service for Security Using NTRU Encryption
Abstract: AbstractShort message service (SMS) is a carrier of messaging that is wireless in nature and allows the cell subscribers to transmit textual content messages to different users. The SMS message length is sixty and a hundred characters having no pictures/image in it. There are many SMS security techniques which are related to cryptography like DES, AES, Blowfish, RSA, ECC etc. NTRU encryption pattern is a lattice-dependent public key cryptosystem that …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 4, Issue 3, 2017 · pp. 11–20 Read article
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Evaluating AI-Driven Adaptive Learning Models in Mathematics: A Contemporary Perspective
Abstract: Artificial Intelligence (AI) continues to transform mathematics education through data-driven personalization and adaptive learning technologies. This study investigates how AI-enabled adaptive platforms influence student performance and engagement in mathematics classrooms. Using a quantitative approach across two institutions, pre- and post-assessment results were compared between students using AI-assisted adaptive learning tools and those receiving conventional instruction. The findings reveal that AI-driven learners demonstrated significantly higher gains in conceptual understanding and engagement …
Published in Recent Trends in Mathematics · Vol. 3, Issue 1, 2026 · pp. 8–12 Read article
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Human Skin Abnormality Detection with Process Similarity Criteria Fit Machine Learning Method
Abstract: This method presents a machine learning method that satisfies the defined conditions for healthy waterside beach activities. The boundary conditions of the normal and abnormal radiation spaces were formulated. The objectives of using a Regression Polynomial with Process Similarity Criteria Fit for skin temperature prediction are justified by the analysis of the existing analytical and machine learning approaches. An algorithm for skin temperature prediction using the theories of similarity criteria …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 11, Issue 2, 2024 · pp. 17–24 Read article
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Bridging Brain-Inspired Learning and Quantum Reasoning for Future AGI Systems
Abstract: This research paper presents a novel neuromorphic–quantum hybrid computing framework envisioned to advance intelligent systems toward artificial general intelligence. The architecture integrates brain-inspired spiking networks for adaptive, energy-efficient learning with quantum processors for non-classical optimization and reasoning. A shared synaptic–quantum memory layer enables dual information representation, while neuromorphic adaptive controllers provide real-time stabilization of noisy quantum circuits. While quantum processors offer features like superposition- enabled exploration and entanglement-based correlations that …
Published in Current Trends in Signal Processing · Vol. 16, Issue 1, 2026 · pp. 1–9 Read article